Aiming at the problems of large dimension and low recognition efficiency of human action sequence recognition, a recognition algorithm based on correlation feature selection and multi-layer perceptron is proposed. Use Kinect to obtain continuous images of human movements. By extracting key frames of human movements and calculating human joint angles, key features of human movements are extracted. Through the correlation feature selection algorithm, the most effective feature subset is selected from a group of features to reduce the dimension of feature space and reduce the calculation amount of classification recognition. Finally, the multi-layer perceptron is used as the classifier, and the BP algorithm is used to adjust the network weights to realize the classification and recognition of human action sequences. Through the classification and recognition experiments of human action sequences, it is proved that the recognition algorithm based on correlation feature selection and multi-layer perceptron has a high recognition rate. The recognition rate of the algorithm proposed in this paper is as high as 96.667%.
KEYWORDS: Global Positioning System, Satellites, Testing and analysis, Atomic force microscopy, Data processing, Receivers, Aerospace engineering, Computing systems, Antennas, Clocks
A new method of initialization about the real-time GPS attitude determination system is presented. The combination solutions of the dualistic, non-linear equations and the ambiguity function method promote the computation efficiency of the initialization. The paper discusses the ambiguity function method and describes the observation equation in terms of geometry. The analytical solution of the dual non-linear coupled equation is given, and the real-time data are processed. As a result, compared with the normal method, the new method is more effective and economical.
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